# human feedback

Published articles for human feedback.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## PPO vs GRPO, Simply Explained

DevFeed: [PPO vs GRPO, Simply Explained](<https://devfeed.tech/articles/ppo-vs-grpo-simply-explained-41275.md>)

Original publisher: [Read original article](<https://www.intoai.pub/p/ppo-vs-grpo-simply-explained>)

Author: Dr. Ashish Bamania

Published: 2026-09-17T11:47:38Z

Content type: tutorial

Language: en

Sources: [Into AI](<https://devfeed.tech/sources/into-ai.md>)

Topics: [Large Language Model](<https://devfeed.tech/topics/llm.md>), [post-training](<https://devfeed.tech/topics/post-training.md>), [Reinforcement learning](<https://devfeed.tech/topics/reinforcement-learning.md>), [Algorithms](<https://devfeed.tech/topics/algorithms.md>)

Tags: [algorithm](<https://devfeed.tech/tags/algorithm.md>), [alignment](<https://devfeed.tech/tags/alignment.md>), [human-feedback](<https://devfeed.tech/tags/human-feedback.md>), [llm](<https://devfeed.tech/tags/llm.md>), [llm-training](<https://devfeed.tech/tags/llm-training.md>), [post-training](<https://devfeed.tech/tags/post-training.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

A tutorial comparing PPO and GRPO as reinforcement learning algorithms used in LLM post-training. It explains PPO, including RLHF, policy-gradient updates, and clipped token-probability changes intended to keep model behavior close to its previous version.

### Source excerpt

A simple lesson on two important LLM post-training algorithms.

## Introducing Real World VoiceEQ: Measuring the human quality of voice AI

DevFeed: [Introducing Real World VoiceEQ: Measuring the human quality of voice AI](<https://devfeed.tech/articles/introducing-real-world-voiceeq-measuring-the-human-quality-of-voice-ai-7454.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/real-world-voiceeq>)

Author: David Ayllon; Alice; Jeff Brooks; Franc Camps Febrer; Jakub Piotr Cłapa; Theo Lebryk; Jens Madsen; Olya Ossipova; Sharath Rao; Hoon Shin

Published: 2026-07-15T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [Human-AI evaluation](<https://devfeed.tech/topics/human-ai-evaluation.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [asr](<https://devfeed.tech/topics/asr.md>), [human feedback](<https://devfeed.tech/topics/human-feedback.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [announcement](<https://devfeed.tech/tags/announcement.md>), [audio](<https://devfeed.tech/tags/audio.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [human-feedback](<https://devfeed.tech/tags/human-feedback.md>), [leaderboard](<https://devfeed.tech/tags/leaderboard.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [reinforcement-learning](<https://devfeed.tech/tags/reinforcement-learning.md>), [speech](<https://devfeed.tech/tags/speech.md>), [voice-ai](<https://devfeed.tech/tags/voice-ai.md>)

### AI overview

Real World VoiceEQ is a benchmark for evaluating the human quality of voice AI beyond latency and word error rate. It measures how voice systems recognize, produce, and respond to acoustic information such as tone, emotion, speaker identity, and background context across ASR, TTS, speech-to-speech, and speech understanding. The benchmark covers more than 40 voice models, 15+ evaluation dimensions, and more than 60 metrics, using over 1 million human ratings.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Doppel's AI defense system stops attacks before they spread

DevFeed: [Doppel's AI defense system stops attacks before they spread](<https://devfeed.tech/articles/doppel-s-ai-defense-system-stops-attacks-before-they-spread-6387.md>)

Original publisher: [Read original article](<https://openai.com/index/doppel>)

Published: 2025-10-28T10:00:00Z

Content type: article

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [threat detection](<https://devfeed.tech/topics/threat-detection.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [OpenAI](<https://devfeed.tech/topics/openai.md>), [Social engineering](<https://devfeed.tech/topics/social-engineering.md>), [human feedback](<https://devfeed.tech/topics/human-feedback.md>), [spoofing](<https://devfeed.tech/topics/spoofing.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [gpt](<https://devfeed.tech/tags/gpt.md>), [human-feedback](<https://devfeed.tech/tags/human-feedback.md>), [internet](<https://devfeed.tech/tags/internet.md>), [phishing](<https://devfeed.tech/tags/phishing.md>), [social-engineering](<https://devfeed.tech/tags/social-engineering.md>), [threat-detection](<https://devfeed.tech/tags/threat-detection.md>)

### AI overview

Doppel uses OpenAI GPT-5 and o4-mini models, together with reinforcement fine-tuning and human-graded feedback, to detect, classify, and remove deepfake, phishing, spoofed-domain, and impersonation threats. The system reduces analyst workloads by 80%, triples threat-handling capacity, and cuts response times from hours to minutes.

### Source excerpt

Doppel uses GPT-5 and reinforcement fine-tuning to stop deepfake and impersonation attacks, cutting analyst workloads by 80% and reducing response times from hours to minutes.

## Judge Arena: Benchmarking LLMs as Evaluators

DevFeed: [Judge Arena: Benchmarking LLMs as Evaluators](<https://devfeed.tech/articles/judge-arena-benchmarking-llms-as-evaluators-7099.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/arena-atla>)

Author: kyle; Maurice; Roman Engeler; Max Bartolo; Clémentine Fourrier; Toby Drane; Mathias Leys; Jake Golden

Published: 2024-11-19T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [ai observability](<https://devfeed.tech/topics/ai-observability.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [anthropic](<https://devfeed.tech/tags/anthropic.md>), [api](<https://devfeed.tech/tags/api.md>), [arena](<https://devfeed.tech/tags/arena.md>), [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [collaboration](<https://devfeed.tech/tags/collaboration.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [gemma](<https://devfeed.tech/tags/gemma.md>), [google](<https://devfeed.tech/tags/google.md>), [human-feedback](<https://devfeed.tech/tags/human-feedback.md>), [leaderboard](<https://devfeed.tech/tags/leaderboard.md>), [llama](<https://devfeed.tech/tags/llama.md>), [llms](<https://devfeed.tech/tags/llms.md>), [nlp](<https://devfeed.tech/tags/nlp.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [openai](<https://devfeed.tech/tags/openai.md>), [qwen](<https://devfeed.tech/tags/qwen.md>)

### AI overview

Judge Arena is a crowdsourced platform for comparing LLMs used as evaluators. Users review two judges' scores and critiques of a response, vote for the evaluation they prefer, and contribute to a leaderboard.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Serverless Triggers: How and Why

DevFeed: [Serverless Triggers: How and Why](<https://devfeed.tech/articles/serverless-triggers-how-and-why-5790.md>)

Original publisher: [Read original article](<https://neon.com/blog/serverless-triggers-how-and-why>)

Author: Tony Holdstock-Brown

Published: 2024-11-06T17:43:25Z

Content type: article

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [Database](<https://devfeed.tech/topics/database.md>), [data-processing](<https://devfeed.tech/topics/data-processing.md>), [Workers](<https://devfeed.tech/topics/workers.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [human feedback](<https://devfeed.tech/topics/human-feedback.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [cloudflare-workers](<https://devfeed.tech/tags/cloudflare-workers.md>), [community](<https://devfeed.tech/tags/community.md>), [concurrency](<https://devfeed.tech/tags/concurrency.md>), [data-processing](<https://devfeed.tech/tags/data-processing.md>), [database](<https://devfeed.tech/tags/database.md>), [human-feedback](<https://devfeed.tech/tags/human-feedback.md>), [integration](<https://devfeed.tech/tags/integration.md>), [llm](<https://devfeed.tech/tags/llm.md>), [replication](<https://devfeed.tech/tags/replication.md>), [serverless](<https://devfeed.tech/tags/serverless.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

The article describes using Neon Logical Replication with Inngest to trigger serverless functions from database changes. It highlights AI workflows with retriable and cached steps, concurrency and throttling controls, human feedback, and ETL-style processing.

### Source excerpt

Neon is a true serverless database, with connection pooling and automatic scaling. To add to the serverless stack, we recently co-launched the Inngest integration with Neon, which enables you to leverage Neon's Logical Replication to trigger Serverless functions (Vercel Functions...

## Argilla 2.4: Easily Build Fine-Tuning and Evaluation Datasets on the Hub -- No Code Required

DevFeed: [Argilla 2.4: Easily Build Fine-Tuning and Evaluation Datasets on the Hub -- No Code Required](<https://devfeed.tech/articles/argilla-2-4-easily-build-fine-tuning-and-evaluation-datasets-on-the-hub-no-code-required-7103.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/argilla-ui-hub>)

Author: Natalia Elvira; ben burtenshaw; Daniel Vila

Published: 2024-11-04T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [argilla](<https://devfeed.tech/topics/argilla.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [Fine-tuning](<https://devfeed.tech/topics/fine-tuning.md>), [human feedback](<https://devfeed.tech/topics/human-feedback.md>), [LLM evaluation / benchmarking](<https://devfeed.tech/topics/llm-evaluation-benchmarking.md>), [spaces](<https://devfeed.tech/topics/spaces.md>), [CSV](<https://devfeed.tech/topics/csv.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [argilla](<https://devfeed.tech/tags/argilla.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [data](<https://devfeed.tech/tags/data.md>), [dataset](<https://devfeed.tech/tags/dataset.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [github](<https://devfeed.tech/tags/github.md>), [hub](<https://devfeed.tech/tags/hub.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [human-feedback](<https://devfeed.tech/tags/human-feedback.md>), [oauth](<https://devfeed.tech/tags/oauth.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [space](<https://devfeed.tech/tags/space.md>), [spaces](<https://devfeed.tech/tags/spaces.md>)

### AI overview

Argilla 2.4 introduces a no-code workflow for importing public Hugging Face Hub datasets into Argilla Spaces. Users can collect human feedback, annotate or curate datasets, and prepare them for fine-tuning or model evaluation, with Hugging Face OAuth supporting community contributions or restricted collaboration.

### Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.

## Building AI agents just got faster with Wordware (and Neon)

DevFeed: [Building AI agents just got faster with Wordware (and Neon)](<https://devfeed.tech/articles/building-ai-agents-just-got-faster-with-wordware-and-neon-5098.md>)

Original publisher: [Read original article](<https://neon.com/blog/building-ai-agents-just-got-faster-with-wordware-and-neon>)

Author: Carlota Soto

Published: 2024-08-19T15:23:42Z

Content type: article

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [AI Development](<https://devfeed.tech/topics/ai-development.md>), [Prompt Engineering](<https://devfeed.tech/topics/prompt-engineering.md>), [human feedback](<https://devfeed.tech/topics/human-feedback.md>), [ide](<https://devfeed.tech/topics/ide.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-development](<https://devfeed.tech/tags/ai-development.md>), [case-studies](<https://devfeed.tech/tags/case-studies.md>), [community](<https://devfeed.tech/tags/community.md>), [human-feedback](<https://devfeed.tech/tags/human-feedback.md>), [ide](<https://devfeed.tech/tags/ide.md>), [llms](<https://devfeed.tech/tags/llms.md>), [prompt-engineering](<https://devfeed.tech/tags/prompt-engineering.md>)

### AI overview

Wordware is presented as an IDE for prompt engineering that helps teams build AI applications and agents through natural-language programming, templates, and rapid iteration. The article explains how human feedback and prompt-first workflows can shorten development cycles while Neon preview branches help identify database migration problems before production.

### Source excerpt

"Wordware is all about building and iterating quickly, so there's alignment with Neon. With Neon's preview branches, we can catch issues early (like a migration breaking on a copy of the main database) and fix them before they hit production. By spotting and fixing problems ear...